Place the directory containing the project ('cifar10_classification_autoencoder') inside the 'Colab Notebooks' folder in your Google Drive; Open an ipython notebook inside the project folder and place ...

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In this paper, a neural network that is able to form a low-dimensional topological hidden representation is explained. The neural network can be trained as an autoencoder, as a classifier or as a ...

We present a Proof of Concept of a chemical sample classifier. Instead of a spectrometer, we use autoencoders, machine learning models that try to reconstruct their output images presented at their ...

This autoencoder is then used for reconstruction, and the reconstructed MRI images are fed into a convolutional neural network, where a classifier determines the clinical validity of the images. This ...

Based on the trained VAE model, the TPT-generated ensemble of kinetic pathways can be embedded into a latent space, where the classification becomes clear. We show that LPC can efficiently and ...